94 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI"-"https:"-"https:"-"I.E" positions at Imperial College London
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Do you want to lead one of Imperial’s most ambitious deep-science entrepreneurship programmes? We are seeking a Programme Lead to deliver and develop Creative Destruction Lab (CDL) London, working
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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We are seeking an ICT based Technical Delivery Manager, working as part of Research Computing Services at Imperial to help us deliver the forthcoming Research Excellence Framework 2029 (REF 2029
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Imperial College London is recruiting an Assistant or Associate Professor in Computational Cardiovascular Medicine to establish and lead an independent research programme in cardiovascular digital
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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for chemical and process engineering applications. Building on your existing expertise, you will interface electronic instruments and electro-mechanical systems with computer control systems including both PCs
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The Research Assistant will join an international interdisciplinary team funded through the British Heart Foundation Programme Grant (My Heart Counts). The role focuses on developing and maintaining
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opportunity to support high‑profile translational and data‑driven research programmes, including the My Heart Counts BHF Programme Grant, the Imperial PH Biobank, and multi‑institution collaborations with
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original